Senior Data Scientist (Fintech)

– Shortlist and identify data sources for segmentation and profiling such as from internal sources – transaction data, customer master data (demographic data), product data, product master data and external sources – Credit data

– Establish criteria to select customers whose data needs to be pulled for analysis.

– Explore data and identify data quality gaps, trends, data variance and cleanse & transform the data.

– Develop unsupervised learning models for customer segmentation from behavioral data and tune for optimum clusters.

– Discover customer profiles from demographic customer data

– Communicate the data exploration and model results to business analyst and gather the feedback.

– Provide inputs for Dashboard Design

– Coordinate in dashboard testing

– Perform documentation of the developed solution

– Strong problem solving skills.

– Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

– Experience working with and creating data architectures.

– Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

– Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

– Excellent written and verbal communication skills for coordinating across teams.